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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 18596
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    INDEX
    Explanations

    phrases indicating a refreshing or stern warning

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of reminders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hair
    -0.81
    rown
    -0.77
    á
    -0.75
    eh
    -0.74
    quer
    -0.70
    gans
    -0.70
    Raw
    -0.68
    erm
    -0.67
    verning
    -0.67
    annis
    -0.67
    POSITIVE LOGITS
     reminder
    1.56
     reminders
    1.42
     reminding
    1.00
     remind
    0.99
     refres
    0.88
     prompts
    0.77
     reiter
    0.77
     reminded
    0.74
     reminds
    0.73
     remembrance
    0.73
    Activations Density 0.010%

    No Known Activations